Table 2.
Results of leave-one-out cross-validation. Classification accuracy of 169 patients with pleural disease based on LLM and three considered competing methods.
| Disease status | |||||
|---|---|---|---|---|---|
| Classification | MPM N (%) |
MTX N (%) |
BD N (%) |
All N (%) |
Total Accuracy (%) |
| LLM | 77.5 | ||||
| MPM | 41 (78.8) | 9 (14.5) | 3 (5.5) | 53 (31.4) | |
| MTX | 6 (11.5) | 41 (66.1) | 3 (5.5) | 50 (29.6) | |
| BD | 5 (9.6) | 12 (19.4) | 49 (89.1) | 66 (39.1) | |
| DT | 72.8 | ||||
| MPM | 43 (82.7) | 9 (14.5) | 5 (9.1) | 57 (33.7) | |
| MTX | 2 (3.8) | 34 (54.8) | 4 (7.3) | 40 (23.7) | |
| BD | 7 (13.5) | 19 (30.6) | 46 (83.6) | 72 (42.6) | |
| KNN | 54.4 | ||||
| MPM | 30 (57.7) | 17 (27.4) | 7 (12.7) | 54 (32.0) | |
| MTX | 16 (30.8) | 28 (45.2) | 14 (25.5) | 58 (34.3) | |
| BD | 6 (11.5) | 17 (27.4) | 34 (61.8) | 57 (33.7) | |
| ANN | 63.9 | ||||
| MPM | 37 (71.2) | 13 (21.0) | 12 (21.8) | 62 (36.7) | |
| MTX | 9 (17.3) | 29 (46.8) | 1 (1.8) | 39 (23.1) | |
| BD | 6 (11.5) | 20 (32.3) | 42 (76.4) | 68 (40.2) | |
| Total | 52 | 62 | 55 | 169 | |
MPM = Malignant Pleural Mesothelioma; MTX = Metastasis; BD = Benign Diseases; LLM = Logic Learning Machine; DT = Decision Tree; ANN = Artificial Neural Network; KNN = k-Nearest Neighbour Classifier.